Exploring the impact of analysis software on task fMRI results

Author:

Bowring Alexander1ORCID,Maumet Camille2ORCID,Nichols Thomas E.134ORCID

Affiliation:

1. Big Data Institute, Li Ka Shing Centre for Health Information and Discovery, Nuffield Department of Population Health University of Oxford Oxford UK

2. Inria, Univ Rennes, CNRS Inserm, IRISA UMR 6074, Empenn ERL U 1228 Rennes France

3. Wellcome Centre for Integrative Neuroimaging, FMRIB, Nuffield Department of Clinical Neurosciences University of Oxford Oxford UK

4. Department of Statistics University of Warwick Coventry UK

Funder

Wellcome Trust

Publisher

Wiley

Subject

Neurology (clinical),Neurology,Radiology, Nuclear Medicine and imaging,Radiological and Ultrasound Technology,Anatomy

Reference51 articles.

1. Machine learning for neuroimaging with scikit-learn

2. Image processing and Quality Control for the first 10,000 brain imaging datasets from UK Biobank

3. Andersson J.L.R. Jenkinson M. … Smith S..2007. Non‐linear registration aka spatial normalisation FMRIB technical report TR07JA2.FMRIB Analysis Group of the University of Oxford 2 1–21.

4. Bowring A. Maumet C. Nichols T. 2018a.Exploring the impact of analysis software on task fMRI results.https://doi.org/10.17605/OSF.IO/U2Q4Y

5. Bowring A. Maumet C. Nichols T. 2018b. NISOx‐BDI/Software_Comparison.

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